Complex Diffusion Maps with ω-parameterized complex kernels reveal inherent harmonic representations and improve discrimination over real-valued diffusion methods on synthetic data, fMRI, and EEG.
Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions.Applied and Computational Harmonic Analysis, 21(1):31–52, 2006
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Complex Diffusion Maps with $\omega$-Parameterized Kernels Revealing Inherent Harmonic Representations
Complex Diffusion Maps with ω-parameterized complex kernels reveal inherent harmonic representations and improve discrimination over real-valued diffusion methods on synthetic data, fMRI, and EEG.